OWN Success Story

Challenge:

The WaterColor Community faced significant challenges in regularly managing and maintaining its diverse infrastructure assets effectively. The community required a modern solution to accurately assess and manage various assets including benches, bus shelters, catch basins, curbs, fire hydrants, sidewalks, trees, utility poles, and water valves, alongside MUTCD signs, distress details, and roadway striping and markings.

Solution:

In response, Cyvl.ai and OWN utilized cutting-edge sensor technology and data analytics to capture high-resolution images and LiDAR data to generate precise data reports on the city’s infrastructure assets and pavement conditions. This technology provided a detailed and accurate inventory, crucial for the city’s planning and maintenance strategies.

Implementation:

The project consisted of mounting Cyvl’s LiDAR sensor stack on OWN’s vehicle and driving the designated roadways of WaterColor’s coastal community.

This setup allowed for the efficient gathering of essential data, which was then processed and analyzed to produce detailed reports on the condition and location of each asset. Additionally, roadways were scored on a 1-100 scale with over 22,000 individual distress details found over 15 miles of roadway data.

Results:

1. Detailed Asset Inventory

   The technology successfully identified and cataloged all targeted assets, providing the WaterColor Community with an up-to-date and comprehensive infrastructure database.

2. Improved Maintenance and Planning

   The detailed insights obtained from the project enabled more effective and informed planning, optimizing maintenance schedules and resource allocation.

3. Pioneering Infrastructure Management Techniques

   With the comprehensive data and tools at its disposal, the WaterColor Community can now efficiently allocate resources, schedule maintenance, and ensure sustained infrastructure health.